This article provides better understanding in how effective regulations have been/could be across the diverse Bay Area.

This paper identifies the uncertain areas and figures out the problematic land cover types in the MODIS Collection 5 global land cover dataset without ground validation samples.

Interview with Dr. Reid Ferring for the Osher Lifelong Learning Institute (OLLI) podcast. In this episode, Susan has a wide-ranging conversation with Dr. Reid Ferring of UNT's Department of Geography and the Environment. They discuss his professional accomplishments in the fields of archaeology and geology, why he loves teaching for OLLI, and the reasons for his interest in the relationship between science and faith.

This article, fused airborne LiDAR and hyperspectral data were used to extract urban objects in cloud shadows.The experimental results confirm that the proposed method is very effective for urban object extraction in cloud shadows and thus improve urban applications such as urban green land management, land use analysis, and impervious surface assessment.

Article describes study investigating the effects of the built-up environment on artificial light at night, focusing on construction region environments on nighttime brightness and variation with building heights and regional economic development level in China.

Study examines factors that affect power corridor classification using LiDAR (light detection and ranging) point clouds, including the class distribution, feature selection, classifier type and neighborhood radius for classification feature extraction.

Article describes study which assesses the relative accuracy of volunteer water quality data collected by the Texas Stream Team (TST) citizen science program from 1992–2016 across the State of Texas by comparing it to professional data from corresponding stations during the same time period.

Article explores the value of hydrologic modeling and monitoring with respect to two dimensions: scientific credibility and use of generated knowledge in the design, implementation, and evaluation of the watershed management program in the Camboriú watershed, Brazil.

First paper of a series on the City Health Outlook (CHO) project, which aims to establish multi-scale, long-lasting, real-time urban environment and health monitoring networks. This paper is targeted at illustrating the characteristics of the participants and examining the effects of different covariates on personal exposure at various air pollution exposure levels.

Article describes survey identifying opportunities for hydrologic modeling and monitoring to support overlapping management contexts.

Article describes study which develops a static geospatial soil moisture model, the Soil Moisture Proxy Model, which uses soil and topographic variables to estimate soil moisture potential across a watershed in order to better understand the quality of farmland in terms of soil moisture.

Data management plan for the grant, "Patterns and Drivers of Intra-Urban Heat and Pollution Island Interactions." Research on the urban heat island (UHI) and urban pollution island (UPI) effects at the neighborhood scale by integrating sensor networks, earth observations, and geospatial analysis. The spatial patterns and intra-annual variability of UHI-UPI interactions and model the urban form drivers controlling UHI-UPI interaction variability will also be examined. These data will be analyzed to determine when and where urban heat islands and urban pollution islands occur, and the risks that their interaction poses to urban residents. These results will support informed decision-making for urban heat and air pollution mitigation.

Article estimating the effects of different scenarios of forest fragmentation to find an optimized pattern of forest patches for increasing pollination in an agricultural landscape. The authors use simulated agricultural landscapes and landscape metrics to estimate the relationship between pollination and landscape structure.

Article investigating the impact of climate change on distributional and habitat quality changes of five wild bees in northwestern regions of Iran under two representative concentration pathway scenarios (RCP 4.5 and RCP 8.5). This study uses species distribution models to predict the potential range shift of these species in the year 2070.

Article examining the effects of habitat loss and fragmentation on pollination separately according to the Lonsdorf model. Results show that the effects of habitat loss and fragmentation on pollination are completely different at the landscape and farm levels. This article shows that using the Lonsdorf model could lead to confusing results for the landscape ecologists and farmers who want to reduce the adverse effects of fragmentation on their products by creating new forest patches.

This article examines the relationships between spatial patterns of long-term ozone exposure and respiratory illness within Dallas-Fort Worth to better understand impacts on health outcomes.

This article develops and tests a constrained stochastic weather generator (CSWG) for producing daily mean air temperature and precipitation based on annual mean air temperature and precipitation from tree-ring records. It presents a unique method that can be used to explore historic (e.g., archeological questions) or future (e.g., climate change) daily weather conditions based upon specified annual values.

This article proposes a toe line tracking (TLT) method for the automated measurement of dune migration rate and direction using multi-temporal digital elevation models (DEM) derived from light detection and ranging (LiDAR) data to overcome a major limitation of the existing method of pairs of source and target points (PSTP).

This article considers positional shift and rotation angle deviation of the laser scanner and the inertial measurement unit (IMU) and presents a new method for calculating the incident angle based on the rigorous geometric measurement model for airborne light detection and range (LiDAR).

This article studies atmospheric nitrogen (N) deposition in urban areas on two native prairie grass species, Schizachyrium scoparium and Nasella leucotricha. Findings indicate that while native prairie grasses may exhibit a positive biomass response to increased N deposition up to ~18 kg ha⁻¹ yr⁻¹, total inorganic N deposition is well above the estimated critical load for herbaceous plant species richness in the tallgrass prairie of the Great Plains ecoregion and thus may negatively affect these plant communities.

This article evaluates the effects of orchard development on deep soil water content (SWC) by using a meta-analysis of 162 sampling sites on the loess tableland from 44 peer-reviewed publications. The results showed that the deep SWC in orchards depended on stand age, planting density and annual precipitation.

This article uses three common open-access satellite image datasets (Sentinel-2B, Landsat-8, and Gaofen-6) for extracting information on rocky desertification in a typical karst region (Guangnan County, Yunnan) of southwest China, using three machine-learning algorithms implemented in the Python programming language: random forest (RF), bagged decision tree (BDT), and extremely randomized trees (ERT).

This article presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and field investigation. Results can provide valuable insight into geomorphic analysis of buried and semi-buried active faults in plain areas with increasingly frequent human activities.

This article evaluates the targeting strategy of a national-level program in Mexico that distributed agricultural support based on seven criteria that prioritized poor smallholder farming communities at high risk of cropland failure. The findings highlight the continued lack of financial support for smallholder agriculture in Mexico, despite program rules and priority statements that stress the vulnerability of this sector. The article also illustrates the important role of spatial targeting in better aligning agricultural support payments with stated policy priorities.